This paper presents a method to mining the sequential patterns from the user’s retrieval behaviors of digital library based on concept lattice. This method searches out the sequential patterns of the user’s retrieval behaviors by mining ideas of “combining top-down and dividing-and-ruling based on concept lattice”, using the application of the re-usability of concept lattice and its advantage in the extraction of frequent itemset. The method does not require comprehensive scanning to the original user information database, and it greatly reduces the time of mining that can help digital libraries to enhance the user retrieval speed, and improve the personalized services.
黄微,毕强,滕广青. 基于概念格的数字图书馆用户检索行为序列模式挖掘研究*[J]. 现代图书情报技术, 2010, 26(3): 13-18.
Huang Wei,Bi Qiang,Teng Guangqing. Sequential Patterns Mining from Digital Library User’s Retrieval Behavior Based on Concept Lattice. New Technology of Library and Information Service, 2010, 26(3): 13-18.
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